Technical Specifications

Seller Refurbished

90 Days Seller Warranty

Key Features

• Model: PNY / NVIDIA RTX A5000 -- Professional workstation GPU with 24 GB GDDR6 ECC memory.

• GPU Architecture & Cores: NVIDIA Ampere architecture with 8,192 CUDA cores, second-generation RT cores for hardware ray tracing, and third-generation Tensor cores for AI acceleration and mixed-precision compute.

• Memory & Bandwidth: 24 GB GDDR6 with ECC on a 384-bit memory bus, offering high capacity for large datasets and scenes.

• Clocks & Performance: Factory boost clocks (GPU boost varies by board/BIOS) enabling strong single-GPU throughput for rendering, simulation and compute tasks.

• Form Factor & Cooling: Dual-slot, full-height active-cooled board (approx. 4.4″ H × 10.5″ L) designed for workstation chassis with standard PCIe slots.

• Power & Connectors: Typical board power around 230 W; requires an 8-pin PCIe power connector (check vendor model for exact connector layout and recommendations).

• Professional Features: ECC memory, ISV certifications, vGPU support for virtualization, and advanced preemption/scheduling for mixed graphics/compute workloads.

• Media & I/O: Multiple DisplayPort outputs for high-resolution multi-monitor setups; modern NVENC/NVDEC engines for efficient hardware encode/decode (useful for video workflows and streaming).

• Scalability: NVLink support (platform dependent) for pooling memory and scaling performance across two GPUs for larger models and datasets.

Best Fit Applications

• High-end 3D content creation (rendering, animation, VFX) where large scene memory and hardware ray tracing accelerate iteration times.

• Architectural and product visualization requiring accurate lighting, large models, and multi-monitor presentation setups.

• AI/ML development and inference for medium to large models that benefit from Tensor cores and high GPU memory; NVLink allows memory scaling for larger workloads.

• Simulation, CFD and scientific compute workloads that need sustained FP performance and large on-GPU datasets.

• Professional video editing, color grading and encoding pipelines where NVENC/NVDEC hardware offloads CPU and supports multi-stream workflows.

• Virtualized workstation environments and enterprise deployments that require ECC memory, ISV certification, and vGPU partitioning for multiple users.